Name
Abstract | ||
|---|---|---|
Wireless Rechargeable Sensor Network(WRSN) is a system that uses wireless charging devices to supply energy to sensors in Wireless Sensor Network(WSN). Using mobile wireless charging equipment, the charging efficiency of WSN will be improved. However, how to properly allocate mobile charging devices and plan routes for them has become a problem. In order to reduce the number of dead nodes in WSN, in this paper, we propose a collaborative charging algorithm based on k-mean++ clustering(KCCA). The algorithm uses k-mean++ to cluster WRSN, and uses a large charging vehicle with unlimited energy and multiple small charging vehicles with limited energy to charge the nodes and collect data in each cluster. The shortest charging time is modeled as a linear programming problem, and the charging path in the cluster is obtained by finding the optimal solution. The simulation results show that, compared with other proposed algorithms, KCCA can better reduce the number of dead nodes and the moving distance of wireless charging car. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00106 | 19TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2021) |
Keywords | DocType | ISSN |
WRSN, k-mean plus plus, Cluster, Collaborative Charging | Conference | 2158-9178 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Zeng | 1 | 0 | 0.34 |
| Minghua Wang | 2 | 64 | 15.40 |
| Bo Fan | 3 | 0 | 0.34 |